Distributed learning with regularized least squares

11 August 2016

Papers citing "Distributed learning with regularized least squares"

18 / 18 papers shown

Title
Optimal Kernel Quantile Learning with Random Features Caixing Wang Xingdong Feng 42 0 0 24 Aug 2024
A review of distributed statistical inference Yuan Gao Weidong Liu Hansheng Wang Xiaozhou Wang Yibo Yan Riquan Zhang 8 42 0 13 Apr 2023
On the Optimality of Misspecified Spectral Algorithms Hao Zhang Yicheng Li Qian Lin 18 14 0 27 Mar 2023
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes Di Wang Yao Wang Shaojie Tang OffRL 16 1 0 21 Feb 2023
Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression Jiading Liu Lei Shi 17 9 0 20 Nov 2022
Nyström Regularization for Time Series Forecasting Zirui Sun Mingwei Dai Yao Wang Shao-Bo Lin AI4TS 25 2 0 13 Nov 2021
Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression Jingyi Zhang Xiaoxiao Sun 17 0 0 13 Jul 2021
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning Lingxiao Wang Zhuoran Yang Zhaoran Wang 27 26 0 21 Jun 2020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 34 172 0 23 Apr 2020
Fast Polynomial Kernel Classification for Massive Data Jinshan Zeng Minrun Wu Shao-Bo Lin Ding-Xuan Zhou TPM 14 5 0 24 Nov 2019
Communication-Efficient Local Decentralized SGD Methods Xiang Li Wenhao Yang Shusen Wang Zhihua Zhang 22 53 0 21 Oct 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 29 2,278 0 04 Jul 2019
Effective Parallelisation for Machine Learning Michael Kamp Mario Boley Olana Missura Thomas Gärtner 11 12 0 08 Oct 2018
Convergence of Online Mirror Descent Yunwen Lei Ding-Xuan Zhou 23 20 0 18 Feb 2018
Universal Consistency and Robustness of Localized Support Vector Machines Florian Dumpert 23 17 0 19 Mar 2017
Parallelizing Spectral Algorithms for Kernel Learning Gilles Blanchard Nicole Mücke 28 15 0 24 Oct 2016
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 83 277 0 09 Aug 2012
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 171 683 0 07 Dec 2010